code: def create_dataset(self) -> Dataset:
      dataset_file = os.path.join(
          self.data_dir, "Platinum_adsorption.json"
      )
      if not os.path.exists(dataset_file):
          dc.utils.data_utils.download_url(
              url=PLATINUM_URL, dest_dir=self.data_dir
          )
          dc.utils.data_utils.untargz_file(
              os.path.join(self.data_dir, "Platinum_adsorption.tar.gz"),
              self.data_dir,
          )
      loader = dc.data.JsonLoader(
          tasks=PLATINUM_TASKS,
          feature_field="Structures",
          label_field="Formation Energy",
          featurizer=self.featurizer,
          **self.args,
      )
      return loader.create_dataset(dataset_file)
  
file_path: deepchem/deepchem/molnet/load_function/material_datasets/load_Pt_NO_surface_adsorbate_energy.py
imports: import numpy
  import os
  import deepchem
  from deepchem.molnet.load_function.molnet_loader import TransformerGenerator, _MolnetLoader
  from deepchem.data import Dataset
  from typing import List, Optional, Tuple, Union
label_desc: Use image node_id 1 for calling the _PtAdsorptionLoader obj's underlying member method code with example usage: obj.create_dataset() and returns: loader